A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.

MIT researchers work to transform truck powertrain design, with support from the MIT Climate and Sustainability Consortium.

The findings, based on a single electrochemical process, could help cut emissions from the hardest-to-decarbonize industries, such as steel and cement.

MIT CSHub postdoc Damian Stefaniuk unpacks new research to bolster concrete’s natural carbon sequestration potential by adding sodium bicarbonate in mixes.

Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.

Made of cement, carbon black, and water, the device could provide cheap and scalable energy storage for renewable energy sources.

Study shows that cities’ plans often won’t achieve their goals, but decarbonizing the local grid could make the difference.

The color changes reflect significant shifts in essential marine ecosystems.

Technology demonstrations show the machine’s major components achieve the required performance.

A variety of recent events highlighted efforts by faculty, staff, and students to make a difference today.